Volta

Automated Mosaicking of Sentinel-2 Satellite Imagery

Unknown authors · 2020
hash_id: 3b4d1638b3b30bb056b2edb8fdde8187d42186f422d5dbf859507deb5c61dd0e · DOI: 10.3390/rs12223680

Repeat frequencies of optical remote sensing satellites have been increasing over the last 40 years, but there is still dependence on clear skies to acquire usable imagery. To increase the quality of data, composited mosaics of satellite imagery can be used. In this paper, we develop an automated method for clearing clouds and producing different types of composited mosaics suitable for use in cloud-affected countries, such as New Zealand. We improve the Tmask algorithm for cloud detection by using a parallax method to produce an initial cloud layer and by using an object-based cloud and shadow approach to remove false cloud detections. We develop several parametric scoring approaches for choosing best-pixel composites with minimal remaining cloud. The automated mosaicking approach …

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